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Many datasets contain personally identifiable information, or PII, which poses privacy risks to individuals.
A unified mrc framework for named entity recognition
Xiaoya Li, Jingrong Feng, Yuxian Meng, Qinghong Han, Fei Wu, and Jiwei Li. 2019 · 1910
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WordNet: An Electronic Lexical Database
Christiane Fellbaum. 1998 · 1998
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The transition to home ownership and the black-white wealth gap
Kerwin Kofi Charles and Erik Hurst. 2002 · 2002
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k-anonymity: A model for protecting privacy
Latanya Sweeney. 2002 · 2002
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A successful technique for removing names in pathology reports using an augmented search and replace method
Sean M Thomas, Burke Mamlin, Gunther Schadow, and Clement McDonald. 2002 · 2002
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Are Emily and Greg more employable than Lakisha and Jamal? a field experiment on labor market discrimination
Marianne Bertrand and Sendhil Mullainathan. 2004 · 2004
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Social biases in nlp models as barriers for persons with disabilities
Ben Hutchinson, Vinodkumar Prabhakaran, Emily Denton, Kellie Webster, Yu Zhong, and Stephen Denuyl. 2020 · 2005
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Development and evaluation of an open source software tool for deidentification of pathology reports
Bruce A Beckwith, Rajeshwarri Mahaadevan, Ulysses J Balis, and Frank Kuo. 2006 · 2006
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A multilingual named entity recognition system using boosting and c4. 5 decision tree learning algorithms
György Szarvas, Richárd Farkas, and András Kocsor. 2006 · 2006
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A software tool for removing patient identifying information from clinical documents
F Jeff Friedlin and Clement J McDonald. 2008 · 2008
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Assessing demographic bias in named entity recognition
Shubhanshu Mishra, Sijun He, and Luca Belli. 2020 · 2008
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A de-identifier for medical discharge summaries
Özlem Uzuner, Tawanda C Sibanda, Yuan Luo, and Peter Szolovits. 2008 · 2008
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The whiteness of privacy: Race, media, law
Eden Osucha. 2009 · 2009
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Frequently occurring surnames in the 2010 census
Joshua Comenetz. 2016 · 2010
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Popular baby names
NYC Open Data. 2013 · 2013
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Discrimination in online ad delivery
Latanya Sweeney. 2013 · 2013
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Dark matters
Simone Browne. 2015 · 2015
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Gender shades: Intersectional accuracy disparities in commercial gender classification
Joy Buolamwini and Timnit Gebru. 2018 · 2018
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Measuring and mitigating unintended bias in text classification
Lucas Dixon, John Li, Jeffrey Sorensen, Nithum Thain, and Lucy Vasserman. 2018 · 2018
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Patient privacy in the era of big data
Mehmet Kayaalp. 2018 · 2018
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Demographic aspects of first names
Konstantinos Tzioumis. 2018 · 2018
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Anonymate: A toolkit for anonymizing unstructured chat data
Allison Adams, Eric Aili, Daniel Aioanei, Rebecca Jonsson, Lina Mickelsson, Dagmar Mikmekova, Fred Roberts, Javier Fernandez Valencia, and Roger Wechsler. 2019 · 2019
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Counterfactual fairness in text classification through robustness
Sahaj Garg, Vincent Perot, Nicole Limtiaco, Ankur Taly, Ed H Chi, and Alex Beutel. 2019 · 2019
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Zhiheng Huang, Wei Xu, and Kai Yu. 2015 · 2015
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Stops and stares: Street stops, surveillance, and race in the new policing
Jeffrey Fagan, Anthony A Braga, Rod K Brunson, and April Pattavina. 2016 · 2016
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Race as a bundle of sticks: Designs that estimate effects of seemingly immutable characteristics
Maya Sen and Omar Wasow. 2016 · 2016
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De-identification of patient notes with recurrent neural networks
Franck Dernoncourt, Ji Young Lee, Ozlem Uzuner, and Peter Szolovits. 2017 · 2017
Cited alongside, same era.
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Towards a critical race methodology in algorithmic fairness
Alex Hanna, Emily Denton, Andrew Smart, and Jamila Smith-Loud. 2020 · 2020
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A survey on deep learning for named entity recognition
Jing Li, Aixin Sun, Jianglei Han, and Chenliang Li. 2020 · 2020
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Extracting training data from large language models
Nicholas Carlini, Florian Tramer, Eric Wallace, Matthew Jagielski, Ariel Herbert-Voss, Katherine Lee, Adam Roberts, Tom Brown, Dawn Song, Ulfar Erlingsson, et al. 2021 · 2021
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Quantifying social biases in nlp: A generalization and empirical comparison of extrinsic fairness metrics
Paula Czarnowska, Yogarshi Vyas, and Kashif Shah. 2021 · 2021
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